Teradata Cloud Broadens Access To Big-Data Benefits

DALLAS Despite taking a beating for disappointing economic news, Teradata remains bullish about its prospects, especially with its latest product and service announcements, highlighted by its new cloud and utility-type capabilities. “We’re taking all of our proven technology and moving it into the cloud,” said Chris Twogood, VP of Product and Services Marketing. “It really opens up a new market for Teradata.”

According to the company, the Teradata Cloud comes with all the capabilities and options that CIOs, data scientists, and data analysts require from an enterprise-class cloud, including pay-as-you go pricing, rapid provisioning and scalability as needed. It includes Data Warehouse as a Service 1.0, available on a monthly subscription. In the first half of 2014 Teradata Cloud 2.0—Data Warehouse as Service, Discovery as a Service and Data Management as a Service will become available, with rapid provisioning, monthly, one-year and three-year pricing options and scalability as needed.

Teradata is also releasing industry starter kits, for rapid data modelling, data loading and BI reporting to help drive immediate business value. Powered by Teradata Database, Data Warehouse as a Service features virtualized resources, consistent performance and linear scalability. Discovery as a Service takes advantage of Teradata Aster Discovery Platform with SQL-MapReduce to enable rapid exploration and discovery from diverse data via business intelligence, data integration, and analytic tools. The third offering, Data Management as a Service, capitalizes on Hadoop for processing of large data sets in a distributed computing environment.

The market for cloud analytics will grow at a torrid pace in the next 3-5 years, said Shawn Rogers, VP, Enterprise Management Associates, in a prepared statement. “Eventually, the vast majority of companies will use cloud-based infrastructures as a significant component of their analytics strategy.”

The cloud news was just part of the announcements the data analytics company is making at this week`s PARTNERS User Group Conference, the annual event put together by the company’s customers:

-the Teradata Extreme Data Platform 1700 delivers a best-in-class SQL engine on top of big data at a breakthrough price from $2,000 per terabyte of compressed data. The company said a customer Terasort benchmark of the Extreme Data Platform versus a Hadoop cluster showed 3X faster performance, even though the Hadoop cluster had eight times more servers. The 1700 also saves a lot of space — 15X more data-space efficient than a commodity system, — and scales beyond 500 petabytes of compressed data;

-featuring the Teradata Integrated Workload Management (IWM), the Teradata Data Warehouse Appliance 2750 integrates an enterprise warehouse with in-memory technology (Teradata Intelligent Memory) to deliver up to three times system-wide performance improvement out-of- the-box, as compared to the predecessor, the 2690. To ship in November, it can now support up to two times more memory and can scale from seven terabytes to 21 petabytes of data. There are also upgrades kits for Data Warehouse Appliance 2700 customers; and,

-the company is also addressing the Internet of Things market with the addition of a Java Script Object Notation (JSON) capability that will ‘remove hurdles’ to combined analysis of data from global devices, operations, and historical business data. To be available with the next release of Teradata Database Q2 2014, Teradata said JSON is the primary language that powers IoT, but while current Online Transaction Processing (OLTP) technology allows for transactional processing of JSON data, it doesn’t allow for scalable analytics on massive data volumes.

However the big news is all about the cloud, with pay-as you go pricing, rapid provisioning and scalability on demand. Cloud increases your infrastructure choices and decreases your deployment headaches, said Scott Gnau, President of Teradata Labs, in a media briefing. “Teradata Cloud based solutions are designed to be TCO-neutral whether you choose on-site or in the cloud, so you can determine which location and delivery model works best based on your specific needs.”

While it’s not about the volume of data, so much as its value, and how quickly you can obtain it, organizations are drowning in data, and missing out on opportunities, according to the big IT research companies. “The challenge is that companies have far more data than people have time, and the amount of data that is generated every minute keeps increasing,” said Rita Sallam, Research VP Analyst, Gartner. “In the face of accelerating business processes and a myriad of distractions, real-time operational intelligence systems are moving from ‘nice to have’ to ‘must have for survival.’”

IDC has predicted that the business analytics software market is expected to grow at a 9.7% compound annual growth rate (CAGR) through 2017. Last year’s sales grew 8.7% to $34.9 billion, following a 15% jump in 2011, but still significantly better than the overall software market, which grew 3.6% year over year in 2012. The six largest vendors – Oracle, SAP, IBM, Microsoft, SAS, Teradata – accounted for 64% of worldwide revenues in 2012.

“There is growing quantifiable evidence that data-driven decision making enabled by business analytics solutions provides a competitive difference,” said Dan Vesset, Program VP, Business Analytics at IDC.

Just prior to IDC releasing its research, Gartner predicted that the influence of analytics is set to increase dramatically. “We are rapidly heading toward a world of analytics everywhere,” said Dan Sommer principal research analyst at Gartner. “Gartner predicts that analytics will reach 50% of potential users by 2014. By 2020, that figure will be 75%, and we will be in a world where systems of record, systems of differentiation and systems of innovation are enabling IT, business and individuals to analyze data in a much denser fashion than before. Post 2020 we’ll be heading toward 100% of potential users and into the realms of the Internet of Everything.”

Teradata’s customer conference features a high-profile group of companies that are taking Big Data to the “main street”, largely on its technology. Speakers will be giving case studies on how their use of Teradata technology, like data warehousing, data discovery and Hadoop, has delivered quantifiable results, including: AT&T, Comcast, T-Mobil, Boeing, Johnson & Johnson, P&G, General Motors, 3M, NCR, Caterpillar, Cisco Systems, CVS, Hallmark, eBay, Lowe’s, Kohl’s, Giant Eagle, Nordstrom’s, Meijer, Sears, Payless, Overstock.com, Hallmark, Tesco, Home Depot, Walmart Stores, JP Morgan Chase, TIAA-CREF, Charles Schwab, Wells Fargo, Bank of America, Nationwide, Liberty Mutual, Hertz, Enterprise, American Airlines, Travelocity, TNT and Sabre.

While cloud-based Big Data analytics appeal to large enterprises, the new offerings will make them more accessible – and affordable – to smaller organizations, said Twogood. In addition to addressing OpEx needs, there are also demands for options for cloud, on-prem or hybrid, as well as to explore new data sets or just deal with short-term requirements, he said. “We’re offering choice, and a lot of flexibility.”

 

DISCLAIMER: Teradata paid for my flight and accommodations at PARTNERS User Group Conference.

 

 

Author: Steve Wexler

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